Table 2_Non-pharmacological therapies for breast cancer-related lymphedema: a systematic r

A systematic review and network meta-analysis of 17 randomized controlled trials involving 754 patients, published on figshare in 2026. It compares the efficacy of non-pharmacological interventions for breast cancer-related lymphedema, ranking therapies by their impact on limb volume and pain. The analysis was conducted by Ningning Fang using data from Cochrane, Embase, PubMed, and Web of Science up to August 12, 2025.

Use Cases

• Ranking the effectiveness of non-pharmacological interventions for limb volume reduction based on SUCRA values.
• Comparing pain relief outcomes from different therapies, such as VR-based training, using standardized mean differences.
• Assessing the comparative efficacy of weight reduction, exercise, and compression therapy for breast cancer-related lymphedema.
• Informing clinical guideline development for lymphedema management based on network meta-analysis results.

Strengths

• Includes 17 randomized controlled trials with 754 patients, providing a structured evidence base.
• Uses network meta-analysis methodology with SUCRA ranking to compare multiple interventions.
• Explicitly registered with PROSPERO (CRD420250654557), indicating a predefined protocol.
• Risk of bias was assessed using the Cochrane RoB2 tool.

Limitations

• The dataset is a 30.0 KB DOCX document; the underlying structured data (e.g., full extraction tables) is not provided.
• The review notes a sparse network topology and limited number of studies, suggesting rankings should be interpreted cautiously.
• Analysis of limb circumference was based on only 3 studies with limited statistical power, finding no significant differences.

Provenance

Source

Systematic review conducted by Ningning Fang, published on figshare.

Collection Method

Literature search of Cochrane, Embase, PubMed, and Web of Science databases from inception to August 12, 2025, followed by network meta-analysis using R 4.4.1.

Time Range

Literature search covered studies from database inception to August 12, 2025.

Freshness

Last updated 2026-05-29 04:48:57.